Performance analysis of adaptive constrained filtering

This paper investigates the output signal-to-interference-and-noise ratio (SINR) behaviors of various linear and nonlinear adaptive RLS filters, including MMSE and DFE filters with known data input, MOE detector, and constrained blind MMSE and DFE filters. New analytic results on the optimal and steady state SINR performance of the constrained adaptive filters are derived. These analyses facilitate comparisons of various filtering methods under different operation conditions. We demonstrate that computer simulation results match well with our theoretical analyses.